38 citations · 60 across the 6 of their papers we have counts for
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cs.LG2020★ 12 cited
On the Similarity between the Laplace and Neural Tangent Kernels
Amnon Geifman, Abhay Yadav, Yoni Kasten +3
Recent theoretical work has shown that massively overparameterized neural networks are equivalent to kernel regressors that use Neural Tangent Kernels(NTK). Experiments show that t…
cs.LG2017★ 10 cited
Stabilizing Adversarial Nets With Prediction Methods
Abhay Yadav, Sohil Shah, Zheng Xu +2
Adversarial neural networks solve many important problems in data science, but are notoriously difficult to train. These difficulties come from the fact that optimal weights for ad…
cs.LG2016★ 38 cited
Big Batch SGD: Automated Inference using Adaptive Batch Sizes
Soham De, Abhay Yadav, David Jacobs +1
Classical stochastic gradient methods for optimization rely on noisy gradient approximations that become progressively less accurate as iterates approach a solution. The large nois…